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mathematical-foundations

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Foundations for rigorous statistics theory.

Education & Research#statistics#information-geometry#sufficiency#theory#exponential-family#decision-theory
AuthorData-Wise
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Provides foundational mathematical statistics concepts for rigorous methodology development.

Core Features & Use Cases

  • Theoretical foundations: sufficiency, completeness, exponential families, decision theory, information geometry to anchor methodological work.
  • Tutorial-style definitions: concise, formal definitions with illustrative examples and lightweight R code.
  • Use Case: A researcher deriving a new estimator can leverage the theory to justify properties and apply Rao-Blackwell improvements.

Quick Start

Load the mathematical foundations content to ground your theoretical derivations and reference the included examples for practical implementation.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: mathematical-foundations
Download link: https://github.com/Data-Wise/scholar/archive/main.zip#mathematical-foundations

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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